A synthetic view of belief revision with uncertain inputs in the framework of possibility theory

DOI10.1016/S0888-613X(97)00019-4zbMath0935.03026MaRDI QIDQ1809374

Henri Prade, Dubois, Didier

Publication date: 20 December 1999

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

zbMATH Keywords

possibility theorypossibilistic logicbelief revision under uncertain inputs

Mathematics Subject Classification ID

Fuzzy logic; logic of vagueness (03B52) Logic in artificial intelligence (68T27) Logics of knowledge and belief (including belief change) (03B42)

Related Items (20)

Credal ensembles of classifiers ⋮ Diagnosis under compound effects and multiple causes by means of the conditional causal possibility approach ⋮ Possibilistic logic: a retrospective and prospective view ⋮ Characterizing and extending answer set semantics using possibility theory ⋮ Extending Removed Sets Revision to partially preordered belief bases ⋮ Inference in possibilistic network classifiers under uncertain observations ⋮ Revision with probability ⋮ Information Fusion and Revision in Qualitative and Quantitative Settings ⋮ Logic-Based Fusion of Complex Epistemic States ⋮ A two-stage fuzzy robust integer programming approach for capacity planning of environmental management systems ⋮ Algorithms for possibility assessments: coherence and extension ⋮ Foundations of probabilistic inference with uncertain evidence ⋮ Jeffrey's rule of conditioning in a possibilistic framework ⋮ Binary naive possibilistic classifiers: Handling uncertain inputs ⋮ Revising Possibilistic Knowledge Bases via Compatibility Degrees ⋮ A dual-interval vertex analysis method and its application to environmental decision making under uncertainty ⋮ An interval-valued fuzzy linear programming with infinite \(\alpha\)-cuts method for environmental management under uncertainty ⋮ Possibilistic causality consistency problem based on asymmetrically-valued causal model ⋮ On revising fuzzy belief bases ⋮ From knowledge-based programs to graded belief-based programs. I: On-line reasoning

Cites Work

• Two modellings for theory change
• Epistemic entrenchment and possibilistic logic
• Fuzzy sets as a basis for a theory of possibility
• Nonmonotonic inference based on expectations
• Aggregation of decomposable measures with application to utility theory
• On the logic of theory change: Partial meet contraction and revision functions
• Probability, Frequency and Reasonable Expectation
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